116 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" positions at Technical University of Denmark
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formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That
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clicking the 'Apply' button DTU Civil and Mechanical Engineering develops and utilizes science and technical knowledge for the benefit of society and sustainable development. We undertake research, education
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of BRIGTH and ensures effective development and implementation of strain design procedures in our design-build-test-learn workflow using big data and data science. The Analytics team is part of
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to design, fabricate, and experimentally validate this new component. You will work hands-on with advanced manufacturing, structural characterization, and electrochemical testing. The development of a
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the development of advanced renewable power plants in collaboration with top universities and industry in the field of wind energy research in Europe and beyond. We offer a rewarding and challenging job in an
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responsible for both day-to-day operations and long-term development of the labs. In addition, you will collaborate closely with DTU Skylab colleagues supporting activities and projects within the field
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contaminant profiles, supporting national and international food safety monitoring and policy development. Responsibilities and qualifications Your primary responsibilities will be to: Collect and process
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(Netherlands) on PIC packaging, PCB, and FPGA development. Working with IMEC (Belgium) on integrating multi-wavelength light sources into the PCB platform. Working with TU Eindhoven (Netherlands) on interfacing
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. This covers topics such as uncertainty quantification and reliable decision-making, multi-agent systems, reasoning, neural network quantisation, on-device machine learning, and benchmark development. About Us
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including GNNs, generative models, or foundation models). Scientific software development, high-performance computing and data infrastructure. Are comfortable programming in Python and working with modern